Automated measurement system and method for coronary artery disease scoring
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a vascular tree reconstructor configured to receive vascular image data of a plurality of vascular segments of a patient and create a computerized model of the plurality of vascular segments by combining the vascular image data. The example device also includes a stenosis determiner configured to analyze the model to determine locations of potential lesions. The example device further includes a vascular state score calculator configured to, for each potential lesion, determine a first vascular state scoring tool “VSST”) subscore based on a size of the potential lesion and a second VSST subscore based on a distance of the potential lesion from a branch point in the plurality of vascular segment. The vascular state score calculator calculates a total VSST score by combining the first VSST subscore and the second VSST subscore.
1. A device for determining a vascular state score of lesion anatomical complexity, the device comprising:
a vascular tree reconstructor communicatively coupled to an image data source and configured to:
receive vascular image data of a plurality of vascular segments of a patient,
create a computerized three-dimensional model of the plurality of vascular segments by combining the vascular image data, and
create an unstenosed computerized three-dimensional model from the computerized three-dimensional model;
a stenosis determiner communicatively coupled to the vascular tree reconstructor and configured to analyze the three-dimensional model of the plurality of vascular segments to determine locations of potential lesions by identifying portions along the plurality of vascular segments where at least one of a cross-sectional area and a diameter decrease below a threshold from an expected decrease based on at least one of a cross-sectional area and a diameter of adjacent portions of the plurality of vascular segments;
a vascular state score calculator communicatively coupled to the stenosis determiner and configured to,
for each potential lesion:
determine a first vascular state scoring tool (“VSST”) subscore based on a size of the potential lesion,
determine a second VSST subscore based on a distance of the potential lesion from a branch point in the plurality of vascular segments,
calculate a total VSST score by combining the first VSST subscore and the second VSST subscore, and
determine a severity of stenosis, for each of the potential lesions, based on a comparison of the at least one of the cross-sectional area and the diameter of the potential lesion in the computerized three-dimensional model to the at least one of the cross-sectional area and the diameter of the potential lesion in the unstenosed computerized three-dimensional model; and
a user interface configured to display the severity of stenosis in conjunction with the total VSST scores for each of the potential lesions.
2. The device of claim 1 , wherein the vascular image data received by the vascular tree reconstructor includes at least one of X-ray angiograms, multi-detector computed tomography (“MDCT”) images, computed tomography (“CT”) images, magnetic resonance imaging (“MRI”) images, positron emission tomography (“PET”) images, optical coherence tomography (“OCT”) images, and intravascular ultrasound (“IVUS”) images.
3. The device of claim 1 , wherein the threshold for determining locations of potential lesions comprises at least a 50% decrease of the at least one of the cross-sectional area and the diameter of the vascular segment portion relative to of adjacent portions of the plurality of vascular segments.
4. The device of claim 1 , wherein the size of the potential lesion corresponds to the at least one of the cross-sectional area and the diameter of the potential lesion.
5. The device of claim 1 , wherein the vascular tree reconstructor is configured to create the unstenosed computerized three-dimensional model by comparing, for each of the potential lesions, the at least one of the cross-sectional area and the diameter of the potential lesion to the at least one of the cross-sectional area and the diameter of the adjacent portions of the plurality of vascular segments.
6. The device of claim 1 , wherein the vascular state score calculator is configured to:
determine a first recommendation for a percutaneous coronary intervention action when at least one of the total VSST scores of the potential lesions is within a first range; and
determine a second recommendation for a coronary artery bypass surgery action when at least one of the total VSST scores of the potential lesions is within a second range, and
wherein the user interface is configured to display at least one of the first recommendation and the second recommendation.
7. The device of claim 6 , wherein the vascular state score calculator is configured to determine at least one of the first recommendation and the second recommendation while the patient is undergoing catheterization.
8. A method for determining a vascular state score, the method comprising:
receiving, in a processor, vascular image data of a plurality of vascular segments of a patient;
creating, via the processor, a computerized three-dimensional model of the plurality of vascular segments by combining the vascular image data;
analyzing, via the processor, the three-dimensional model of the plurality of vascular segments to determine locations of potential lesions by identifying portions along the plurality of vascular segments where at least one of a cross-sectional area and a diameter decrease below a threshold from an expected decrease based on at least one of a cross-sectional area and a diameter of adjacent portions of the plurality of vascular segments;
for each potential lesion:
determining, via the processor, a first vascular state scoring tool (“VSST”) subscore based on a size of the potential lesion,
determining, via the processor, a second VSST subscore based on a distance of the potential lesion from a branch point in the plurality of vascular segments, and
calculating, via the processor, a total VSST score by combining the first VSST subscore and the second VSST subscore;
creating, via the processor, an unstenosed computerized three-dimensional model by comparing, for each of the potential lesions, the at least one of the cross-sectional area and the diameter of the potential lesion to the at least one of the cross-sectional area and the diameter of the adjacent portions of the plurality of vascular segments;
determining, via the processor, a severity of stenosis, for each of the potential lesions, based on a comparison of the at least one of the cross-sectional area and the diameter of the potential lesion in the computerized three-dimensional model to the at least one of the cross-sectional area and the diameter of the potential lesion in the unstenosed computerized three-dimensional model; and
displaying, via a user interface communicatively coupled to the processor, the severity of stenosis in conjunction with the total VSST scores for each of the potential lesions.
9. The method of claim 8 , further comprising:
determining, via the processor, a first recommendation for a percutaneous coronary intervention action when at least one of the total VSST scores of the potential lesions is within a first range;
determining, via the processor, a second recommendation for a coronary artery bypass surgery action when at least one of the total VSST scores of the potential lesions is within a second range; and
displaying, via the user interface, at least one of the first recommendation and the second recommendation.
10. The method of claim 8 , wherein the vascular image data includes at least one of X-ray angiograms, multi-detector computed tomography (“MDCT”) images, computed tomography (“CT”) images, magnetic resonance imaging (“MRI”) images, positron emission tomography (“PET”) images, optical coherence tomography (“OCT”) images, and intravascular ultrasound (“IVUS”) images.
11. The method of claim 8 , wherein the plurality of vascular segments includes an arterial vasculature of the patient's heart.
12. The method of claim 8 , wherein the total VSST score for each of the potential lesions includes a SYNTAX score.
13. The method of claim 8 , wherein the vascular image data is received in the processor while the patient is undergoing catheterization.
14. The method of claim 13 , wherein the total VSST scores for each of the potential lesions are determined by the processor while the patient is undergoing catheterization.
15. The method of claim 8 , further comprising:
mapping, via the processor, the total VSST scores for each of the potential lesions to locations of the potential lesions within the three-dimensional model; and
displaying, via the user interface, the three-dimensional model including the otal VSST scores.